Optimum interference alignment algorithm for cognitive MIMO interference network

被引：0
|
作者：
Zhu S.-L. [1 ]
Zheng N.-E. [1 ]
Ba B. [1 ]
Hu H.-Y. [1 ]
机构：
[1] Institute of Navigation and Space Target Engineering, Information Engineering University, Zhengzhou, 450000, Henan
来源：
| 1600年 / Chinese Institute of Electronics卷 / 44期
关键词：
Cognitive multi-input multi-output (MIMO); Interference alignment; Interference network; Lagrange partial dual; Underlay spectrum sharing;
D O I：
10.3969/j.issn.0372-2112.2016.06.022
中图分类号：
学科分类号：
摘要：
Cognitive radio can improve the spectrum efficiency by fusing with technologies such as multi-input multi-output (MIMO), orthogonal frequency division multiplexing (OFDM), ultra wideband (UWB), cooperative communication, etc. Cognitive MIMO is a fusion technology of cognitive radio and MIMO, which has advantages of interference suppression, anti-multipath fading, spatial diversity, and multiplexing. However, there is intercoupling among its precoding matrices because of the interference temperature constraint in underlay sharing mode, which makes it difficult for the cognitive MIMO in the underlay interference network to obtain optimal transmitting performance. Consequently, an optimal interference align algorithm for cognitive MIMO interference network is proposed to obtain the optimized interference network transmitting performance, in which the iteration relationship between the optimal transmitting and receiving matrices is derived by interactively and alternately using transmitting precoding and receiving interference subspace matrix, and the derivation process is based on Rayleigh-Ritz theorem and convex optimization theory. In order to remove the interference temperature constraint, the Lagrange partial of dual-decomposition was exploited, and the sub-gradient projection method was adopted to update the Lagrange variable, which overcame the shortcoming of decreasing transmitting rate caused by ignorance of the matrix rank constraint in the existing semi-definite relaxation algorithms. The validity of this algorithm is verified by theoretical analysis and numeric simulations, and results also indicate that the proposed algorithm is capable of maximizing the cognitive MIMO interference network available transmitting rate. © 2016, Chinese Institute of Electronics. All right reserved.
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页码：1406 / 1412
页数：6
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